DANet
by junfu1115
Dual Attention Network for Scene Segmentation (CVPR2019)
AI summary
Scene segmentation framework
A deep learning framework designed to segment scenes from images by integrating local features with global dependencies using self-attention mechanisms.
- stars
- 2.4K
- forks
- 481
- watching
- 36
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Action recognizer
PyTorch implementation of 3D ResNets for action recognition in video data
Pose Estimation Network
An implementation of a deep learning network for human pose estimation using high-resolution representations
taki0112/ugatit6.2K
Image translator
An unsupervised image-to-image translation model with adaptive normalization and attention mechanisms.
Semantic segmentation model
An implementation of a deep learning model for semantic segmentation using a novel attention mechanism to capture long-range dependencies in images.
dmlc/gluon-cv5.9K
CV framework
A toolkit for building and deploying deep learning models in computer vision
Convolutional Network
A deep learning implementation of a neural network architecture with interconnected layers, designed to improve accuracy on image classification tasks
Image resolver
Provides a PyTorch implementation of single image super-resolution
donnyyou/torchcv2.2K
CV framework
A comprehensive PyTorch-based framework for computer vision tasks
diego999/pygat2.9K
Graph Network Model
An implementation of the Graph Attention Network model using PyTorch.
Deblurring library
Improves single-image defocus deblurring by learning from dual-pixel images in a multi-task framework
Image segmentation model
An open-source implementation of an image segmentation model that combines background removal and object detection capabilities.
Image segmenters
Pytorch implementations of image segmentation networks based on U-Net and its variants
Squeeze-and-Excitation Network
An implementation of the Squeeze-and-Excitation Networks architecture in Caffe
Object ReID baseline
A PyTorch implementation of an Object Re-ID baseline with various training methods and architectures
Segmentation model
An implementation of a high-resolution neural network architecture for semantic segmentation tasks.
Featured in 1 awesome list
Each link jumps to the spot where the list mentions DANet.
